Press release
Artificial Intelligence in Agriculture Market Size Study, by Technology, by Application, by Offering, and Regional Forecasts, 2017-2025
Artificial Intelligence in Agriculture
The objective of the study is to define market sizes of different segments & countries in previous years and to forecast the values to the next eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry with respect to each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as drivers & restraining factors which will define the future growth of the market. Additionally, it will also incorporate the opportunities available in micro markets for stakeholders to invest, detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
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Technology:
• Predictive Analytics
• Machine Learning
• Computer Vision
Application:
• Drone Analytics
• Precision Farming
• Livestock Monitoring
• Agriculture Robots
• Others
Offering:
• Software
• Hardware
• Service
• AI-as-a-service
Regions:
• North America
• U.S.
• Canada
• Europe
• Germany
• Asia Pacific
Furthermore, the years considered for the study are as follows:
• Historical year – 2015
• Base year – 2016
• Forecast period – 2017 to 2025
Some of the key manufacturers involved in the market are John Deere, IBM, Agribotix, Microsoft, The Climate Corporation, Prospera, Spensa Technologies, Resson, Vision Robotics. Acquisitions and effective mergers are some of the strategies adopted by the key manufacturers. New product launches and focuses on continuous technology innovations are also strategies adopted by the major players. The companies are also trying to dominate the market by investing in research and development.
Target Audience of the Artificial Intelligence in Agriculture Market Study:
• Key Consulting Companies & Advisors
• Large, medium-sized, and small enterprises
• Venture capitalists
• Value-Added Resellers (VARs)
• Third-party knowledge providers
• Investment bankers
Company Profile:
• Microsoft
• Resson
• Spensa Technologies
• Vision Robotics
• Prospera
• Harvest Croo
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Short Review On Table Of Content
Chapter 1. Research Methodology
1.1. Research Process
1.1.1. Data Mining
1.1.2. Analysis
1.1.3. Market Estimation
1.1.4. Validation
1.1.5. Publishing
1.2. Research Assumption
Chapter 2. Global Artificial Intelligence in Agriculture Market Definition & Scope
2.1. Objective of The Study
2.2. Market Definition
2.3. Scope of The Study
2.4. Years Considered for The Study
2.5. Currency Conversion Rates
2.6. Report Limitation
Chapter 3. Executive Summary
3.1. Key Trends
3.2. Global & Segmental Market Estimates & Forecasts, 2015-2025 (USD Billion/Million)
Chapter 4. Global Artificial Intelligence in Agriculture Industry Dynamics
4.1. Growth Prospects
4.1.1. Drivers
4.1.2. Restraints
4.1.3. Opportunities
4.2. Industry Analysis
4.2.1. Porter’s 5 Force Model
Chapter 5. Global Artificial Intelligence in Agriculture Market by Technology
5.1. Market Snapshot
5.2. Artificial Intelligence in Agriculture Market, Sub Segment Analysis
5.2.1. Predictive Analytics
5.2.1.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)
5.2.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)
5.2.2. Computer Vision
5.2.2.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)
5.2.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)
5.2.3. Machine Learning
Chapter 6. Global Artificial Intelligence in Agriculture Market by Application
6.1. Market Snapshot
6.2. Artificial Intelligence in Agriculture Market, Sub Segment Analysis
6.2.1. Livestock Monitoring
6.2.1.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)
6.2.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)
6.2.2. Drone Analytics
6.2.2.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)
6.2.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)
6.2.3. Agriculture Robots
6.2.3.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)
6.2.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)
Chapter 7. Global Artificial Intelligence in Agriculture Market by Offering
7.1. Market Snapshot
7.2. Artificial Intelligence in Agriculture Market, Sub Segment Analysis
7.2.1. Hardware
7.2.1.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)
7.2.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)
7.2.2. Software
7.2.2.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)
7.2.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)
7.2.3. Service
7.2.3.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)
7.2.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)
Chapter 8. Global Artificial Intelligence in Agriculture Market, Regional Analysis
8.1. Artificial Intelligence in Agriculture Market, Regional Market Snapshot (2015-2025)
8.2. North America Artificial Intelligence in Agriculture Market Snapshot
8.2.1. U.S. Artificial Intelligence in Agriculture Market Size Estimates & Forecasts, 2015-2025 (USD Billion/Million)
8.2.1.1. Market estimates & forecasts, 2015-2025 (USD Billion/Million)
8.2.1.2. Technology breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)
8.2.1.3. Application breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)
8.2.1.4. Offering breakdown estimates & forecasts, 2015-2025 (USD Billion/Million)
8.2.2. Canada Artificial Intelligence in Agriculture Market Size Estimates & Forecasts, 2015-2025 (USD Billion/Million)
Chapter 9. Competitive Intelligence
9.1. Company Market Share (Subject to Data Availability)
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. IBM
9.3.1.1. Overview
9.3.1.2. Financial (Subject to Data Availability)
9.3.1.3. Product
Continue…
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